It had been known that the famous region scalable-fitting model can segment the images
with intensity inhomogeneity effectively, but it largely depends on the position of initial …

Active contour model (ACM) has been a competitive tool in image segmentation because of
its desired segmentation result and accuracy. Nevertheless, it may become unstable while …

The original problem of supervised classification considers the task of automatically
assigning objects to their respective classes on the basis of numerical measurements …

Edges are key components of any visual scene to the extent that we can recognise objects
merely by their silhouettes. The human visual system captures edge information through …

In recent years, social media has become an everyday tool for the distribution of videos in
which signs of violence appear in different ways. Citizens of smart cities are demanding …

The fast growing deep learning technologies have become the main solution of many
machine learning problems for medical image analysis. Deep convolution neural networks …

Microsurgical procedures, such as petroclival meningioma resection, require careful surgical
actions in order to remove tumor tissue, while avoiding brain and vessel damaging. Such …

Object occlusion boundary detection is a fundamental and crucial research problem in
computer vision. Solving this problem is challenging as we encounter extreme …

In this paper, a novel approach is proposed to compute a high quality dense depth map
together with a semi-dense/dense 3D structure from a sequence of images captured on a …

We present a general framework and method for detection of an object in a video based on
apparent motion. The object moves relative to background motion at some unknown time in …